194 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof" positions at University of North Texas at Dallas
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. Demonstrated ability to effectively communicate verbally and in writing at an exemplary level. Ability to work under pressure, to adjust to constant changes, to handle multiple tasks, and to coordinate the work
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tools (e.g., Canva, Adobe Creative Suite). • Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines. Preferred Qualifications • Experience in a higher education
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sense of teamwork * Exceptional written and oral communication skills * Advanced Microsoft Office skills * Ability to work under pressure, adjust to changes, handle multiple tasks and coordinate the work
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/budgeting procedures. Ability to work under pressure, to adjust to constant changes, to handle multiple tasks, and to coordinate the work of others. Ability to keep complex records, to assemble and organize
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skills. Advanced Microsoft Office skills. Knowledge of accounting/budgeting procedures. Ability to work under pressure, to adjust to constant changes, to handle multiple tasks, and to coordinate the work
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, applying state-of-the-art sensing technologies and self-developed algorithms. Minimum Qualifications • Ph.D. in Mechanical or Industrial Engineering, and other fields that explore Artificial Intelligence
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multiple tasks, and to coordinate the work of others. Ability to keep complex records, to assemble and organize data of complex nature, and to prepare and submit reports in acceptable formats. Ability
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methods to create an effective learning environment. Strong organizational and time management skills to effectively manage multiple responsibilities, including teaching, research, and clinical duties
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of other colleges/schools/units to coordinate cultivation and solicitation of prospects where there are multiple interests. Principal gift work requires understanding of the university’s overarching
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The postdoctoral research associate will work closely with the Ko Research Group to develop novel theories and algorithms for studying